Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
A Model Context Protocol (MCP) server that provides AI assistants with the ability to interact with Ansys simulation software.
Offline Model Context Protocol (MCP) server that serves Godot Engine API documentation from a local doc/ folder.
Full documentation is available at buildkite.com/docs/apis/mcp-server.
An MCP server for OSV
MCP server for LibreNMS management
A production-ready for seamless integration between Wazuh SIEM and Large Language Models (LLMs).
For new installs, use tellm instead. It is a small Rust Telegram assistant for Claude, GPT/Grok, Gemini, compatible endpoints, and local Ollama, with per-room model selection and keychain-backed...
ElysiaJS plugin for Model Context Protocol with HTTP transport
A flexible gateway server that bridges Model Context Protocol (MCP) STDIO servers to MCP HTTP+SSE and REST API, enabling multi-instance MCP servers to be exposed over HTTP.
An MCP (Model Context Protocol) server designed to interact with an Abaqus/CAE Graphical User Interface (GUI).
一个用于与语雀 API 集成的 Model-Context-Protocol (MCP) 服务器。此实现受 Figma-Context-MCP 的启发，并使用 语雀开放 API。
A package manager to manage all your mcp servers across platforms
Agent Skills
Agent skills extracted from real work. Each one shipped something first.
Personal Codex skills (drop-in folders under ~/.agents/skills/). Catalog: https://jmerta.github.io/codex-skills/
Open the interactive guide to learn more about the Skill
The open agent skills tool - npx skills
A curated list of essential skills, tools, and resources for building and enhancing advanced AI agents.
Keep your skills sharp. Intelligence for agent context.
Chainstack is the leading suite of services connecting developers with Web3 infrastructure
A structured Agent workflow for CUMCM, MCM/ICM, and Diangong Cup — designed to keep a 72–96 hour modeling project coherent from the first decision to the final submission.
会话 · 聊天记录 · 搜索 · 联系人 · 群成员 · 群昵称 · 收藏 · 统计 · 导出
🧠 plan · 🔨 implement · 🔍 review · ✅ QA gate · 🚢 merge Thirty-five agent skills that run a full PR pipeline. Install them into any repo, with any coding agent.
for creating, directing, validating, and delivering image, video, audio, voice, music, 3D, avatar, and interactive media.
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.